Discover Data Analysis with Qlik Sense : Level 2 – Qlik Sense Data Architect


The Qlik Sense Data Architect course is a comprehensive program tailored for experienced data professionals who aspire to become proficient in architecting and optimizing data solutions within the Qlik Sense environment. Participants will learn advanced data modeling techniques, data integration strategies, performance optimization, and security measures, equipping them with the skills to design and implement robust data architectures that support complex analytical requirements.

Through practical exercises and real-world use cases, attendees will gain the expertise needed to leverage the full potential of Qlik Sense as a data architect and contribute to data-driven decision-making processes within their organizations.

1 in stock

SKU: 9933 Categories: ,

Start date

October 24, 2023

End date

October 25, 2023

Language(s) of the training


Languages spoken by the coach(es)

English, French


Céline Massompierre


  • Connection to databases (ODBC, OLDB)
  • Data modeling
    – 3-layer architecture: Data Load (QVD) – Data Model – Data Visualization
  • Advanced data load script
    – link tables, loop, temporary tables
    – table concatenation, table joins
    – mapping tables
  • Script variables
  • Including external script files
  • Solving synthetic keys and circular references
  • Management of the time dimension : creating a Master calendar, Date link
  • Security : data segmentation – Section Access
  • User interface
    – advanced dimensions and measurements (Set Analysis, aggregates)
    – choosing between Master Items / variables / scripting
  • Extensions and mashups
  • Best practices


  • Advanced Data Modeling: Participants will learn advanced data modeling techniques, including creating optimized data structures, handling complex relationships, and implementing associative data models to ensure efficient and accurate data analysis.
  • Data Integration Strategies: Attendees will explore various data integration methods, including data loading from multiple sources, data blending, and data transformation, to consolidate diverse datasets into a cohesive and comprehensive data model.
  • Performance Optimization: Learners will understand how to optimize data load scripts.
  • Advanced Visualization: Participants will master advanced visualization techniques, including complex chart expressions, set analysis, and advanced calculations, to create sophisticated and interactive visualizations that provide deeper insights into the data.
  • Security Implementation: Attendees will learn how to implement data security measures in Qlik Sense, including row-level security and data access restrictions, to ensure data privacy and compliance with data governance policies.
  • Scalability and Deployment Best Practices: Participants will gain insights into scalable application design and deployment best practices.
  • Real-world Use Cases: Through practical exercises and real-world use cases, participants will apply their knowledge to solve complex data architecture challenges, providing them with hands-on experience and practical skills.

By the end of the training, participants will have achieved a high level of expertise in Qlik Sense data architecture, enabling them to design and implement efficient, secure, and scalable data solutions to empower data-driven decision-making and analytical processes within their organizations.

Learning Outcomes

This training will allow to participants to:

  • Be proficient in advanced data modeling techniques, enabling them to create efficient and optimized data structures.
  • Acquire expertise in integrating data from diverse sources, performing data blending, and transforming data to create comprehensive and unified data models suitable for advanced analysis.
  • Gain the knowledge and skills to optimize data load scripts, implement data reduction strategies, and perform incremental data loads.
  • Become adept at designing sophisticated visualizations using complex chart expressions, set analysis, and advanced calculations, effectively conveying insights and supporting data-driven decision-making.
  • Understand how to implement data security measures
  • Learn best practices for creating scalable data architectures that can handle growing data volumes
  • Develop problem-solving skills, enabling them to apply their knowledge to address complex data architecture challenges effectively.

By mastering advanced data modeling, visualization, and integration techniques, participants will be well-equipped to support data-driven decision-making processes within their organizations, enabling better insights and strategic choices.

Overall, the learning outcomes of this course will empower participants to become skilled Qlik Sense Data Architects, capable of architecting, optimizing, and deploying robust data solutions that unlock the full potential of Qlik Sense.


This course has a total duration of 13 hours and takes place over 2 days:

  • 24-10-2023: 09:00 – 16:30
  • 25-10-2023: 09:00 – 16:30

Format and Location

This course takes place ON-SITE
Terres Rouges building
14, porte de France
L-4360 Esch/Alzette




Additional Info


This training does not have any assessment or exams; a certificate of participation will be issued to participants.

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